一篇OFDM 同步和信道估计的博士论文，分享

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一篇OFDM 同步的博士论文，分享
OFDM技术同步和信道估计研究
【文件名】:06913@52RD_Fusco_Tesi.pdf
【格　式】:pdf
【大　小】:953K
【简　介】:
【目　录】:
Contents
List of Figures vii
Notations xi
Glossary xv
1 Introduction 1
1.1 Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2 OFDM Basics 7
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 OFDM System . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.2.1 Basic Architecture . . . . . . . . . . . . . . . . . . . 9
2.2.2 Spectral Analysis . . . . . . . . . . . . . . . . . . . . 12
2.3 Digital Implementation . . . . . . . . . . . . . . . . . . . . . 15
2.4 Cyclic Prefix . . . . . . . . . . . . . . . . . . . . . . . . . . 20
3 Synchronization Problem in OFDM Systems 25
3.1 Model of Synchronization Errors . . . . . . . . . . . . . . . . 25
3.2 Effect of Symbol Timing Errors . . . . . . . . . . . . . . . . 26
3.3 Effect of CFO . . . . . . . . . . . . . . . . . . . . . . . . . . 29
3.4 Synchronization Schemes . . . . . . . . . . . . . . . . . . . . 31
3.4.1 Blind and Semiblind Synchronization Schemes . . . . 34
3.4.2 Data-Aided Synchronization Schemes . . . . . . . . . 35
4 Blind Synchronization 37
4.1 Problem Statement and Assumptions . . . . . . . . . . . . . . 37
v
vi CONTENTS
4.2 Stochastic ML Estimators . . . . . . . . . . . . . . . . . . . . 40
4.2.1 ML Estimator for NC-OFDM Systems . . . . . . . . 41
4.2.2 ML Estimator for C-OFDM Systems . . . . . . . . . 44
4.2.3 ML Estimator for NC-OFDM Systems with Lc = 0 . . 45
4.3 Performance Bounds . . . . . . . . . . . . . . . . . . . . . . 48
4.4 Estimators in Multipath Channel . . . . . . . . . . . . . . . . 56
5 Synchronization with Training 59
5.1 Training Symbol . . . . . . . . . . . . . . . . . . . . . . . . 59
5.2 Stochastic ML Estimators . . . . . . . . . . . . . . . . . . . . 62
5.2.1 Estimators Based on an NC Training Symbol . . . . . 62
5.2.2 Estimators Based on a Circular Training Symbol . . . 66
5.3 Practical Estimator . . . . . . . . . . . . . . . . . . . . . . . 67
5.4 Data-Aided Estimators in Multipath Channel . . . . . . . . . 70
6 Numerical Results 73
6.1 Performance of Blind Estimators . . . . . . . . . . . . . . . . 73
6.1.1 AWGN Channel . . . . . . . . . . . . . . . . . . . . 74
6.1.2 Multipath Channel . . . . . . . . . . . . . . . . . . . 75
6.2 Performance of Data-Aided Estimators . . . . . . . . . . . . . 76
6.2.1 Timing Metric . . . . . . . . . . . . . . . . . . . . . 76
6.2.2 AWGN Channel . . . . . . . . . . . . . . . . . . . . 77
6.2.3 Multipath Channel . . . . . . . . . . . . . . . . . . . 78
7 Conclusions 99
7.1 Thesis Summary . . . . . . . . . . . . . . . . . . . . . . . . 99
7.2 Future Works . . . . . . . . . . . . . . . . . . . . . . . . . . 101
A Derivation of LLF 103
B Refined Symbol Timing Estimators 109
C Analytical Performance of MCL0 113
Bibliography

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